OPEN-SOURCE SCRIPT

Full Volatility Statistics and Forecast


This is a tool designed to translate the data from the expected volatility of different assets, such as for example VIX, which measures the volatility of SP500 index.

Once get the data from the volatility asset we want to measure(for this test I have used VIX), we are going to translate it the required timeframe expected move by dividing the initial value into :
252 = if we want to use the daily timeframe, since there are ~252 aproximative daily trading days
52 = if we want to use the weekly timeframe, since there 52 trading weeks in a year
12 = if we want to use the monthly timeframe, since there are 12 months in a year

For this example I have used 252 with the daily timeframe.

In this scenario, we can see that we had 5711 total cnadles which we analysed, and in this case, we had 942 crosses, where the daily movement ended up either above or below the channel made from the opening daily candle value + expected movement from the volatility, giving as a total of 16.5% of occurances that volatility was higher than expected, and in 83.5% of the times, we can see that the price stayed within our channel.

At the same time, we can see that we had 6 max losses in a row ( OUT) AND 95 max wins in a row (IN), and at the same time in those moments when the volatility crosses happen we had a 0.51% avg movements when the top crossed happened, and 0.67% avg movements when the bot happened.

Lastly on the second part of the panel, we had E which means the expected movement of today, for example it has 61.056$ , so lets say price opened on 4083, our top is 4083 + 61 and our bot is 4083 - 61 ( giving us the daily channel). At continuation we can see that overall the avg bull candle os 0.714% and avg bear candle was 0.805% .


I hope this tool will help you with your future analysis and trades !

If you have any questions please let me know !
forecastHistorical VolatilitynasdaqS&P 500 (SPX500)statisticVIX CBOE Volatility IndexVolatilityVXN

開源腳本

在真正的TradingView精神中,這個腳本的作者以開源的方式發佈,這樣交易員可以理解和驗證它。請向作者致敬!您可以免費使用它,但在出版物中再次使用這段程式碼將受到網站規則的約束。 您可以收藏它以在圖表上使用。

想在圖表上使用此腳本?


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